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The speed bi-gradient method for model reference adaptive control of affine cascade systems

IFAC-PapersOnLine 2015年第11 11期48卷 489-495页

作者： Myshlyayev, Yury I. Finoshin, Alexander V. National Research University ITMO St.Petersburg Russia Bauman Moscow State Technical University Kaluga Branch Russia Bauman Moscow State Technical University Kaluga Branch Russia

The model reference adaptive control synthesis problem for affine systems consisting of two subsystems is considered. The reference model specifies the desired state of output subsystem. The speed bi-gradient method to design continuous or sliding mode control algorithms with tunable manifold is proposed. The control law ensures both the boundedness of the closed loop system for bounded initial conditions and desired motion of the output subsystem under parameter uncertainty. The conditions of applicability and stability analysis of proposed algorithm are presented. © 2015

关键词： model reference adaptive control Cascade control systems Closed loop systems control theory Convergence of numerical methods Gradient methods Nonlinear control systems Sliding mode control adaptive control Affine systems Cascade systems Initial conditions Parameter uncertainty reference modeling Sliding surface Stability analysis

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model reference adaptive control for Aeroengine 27

Model Reference Adaptive Control for Aeroengine

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27th Chinese control and Decision Conference (CCDC)

作者： Nian, Fu-Qiang Ma, Hongjun Yang, Guang-Hong AVIC Shenyang Engine Design & Res Inst Shenyang 110015 Peoples R China Northeastern Univ Inst Control Theory & Nav Technol Shenyang 110819 Peoples R China

ISBN: (纸本)9781479970162

Aeroengine is a kind of multi-variable controlled object with strong nonlinearity and coupling, which is usually difficult to be described by precise mathematical models. Aiming at the condition that near the aeroengine's stable operating points, model parameters are unknown but unchanged with time, this thesis designs aeroengine model reference adaptive control system based on the Lyapunov stability theory, by choosing Lyapunov function, in the case of keeping the system stable, the adaptive parameter adjustment law is obtained. Last but not least, this thesis proposes improvement measures to deal with the shaking rotating speed problem of the aeroengine model reference adaptive control system as the use of the Lyapunov method. Fly simulation experiments, the results prove that the designed control system can realize adaptive state tracking control of aeroengine, and as well meet the performance index requirements for the aeroengine's control system.

关键词： aeroengine model reference adaptive control adaptive parameter adjustment law Lyapunov faction

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On Indirect model reference adaptive Learning control

On Indirect Model Reference Adaptive Learning Control

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Chinese Intelligent Systems Conference (CISC)

作者： Du, Wen Beihang Univ BUAA Sch Math & Syst Sci Beijing 100191 Peoples R China

ISBN: (纸本)9783662483862;9783662483848

This chapter deals with tracking problem of single-input single-output linear time-invariant (SISO LTI) system with parametric uncertainties by using a model reference adaptive iterative learning control (MRAILC) scheme. The tracking error converges to zero pointwisely after infinite iterations. A major feature of this proposed method is that system output could track the desired trajectory whether the plant system is minimum-phrase or not.

关键词： Iterative learning control model reference adaptive control

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SensorlessSpeed Estimation and Vector controlof an Induction Motor drive Using model reference adaptive control

SensorlessSpeed Estimation and Vector Controlof an Induction...

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Proceedings of the 2015 IEEE International Conference On Power and Advanced control Engineering ICPACE 2015

作者： Mohanalakshmi, J. Suresh, H. N. Malnad Coll Engn Dept E&E Engn Hassan 573202 India

ISBN: (纸本)9781479983711

Now-a-days, sensorless speed control modes of operation are becoming standard solutions in the area of electric drives. The technological developments require a compact and efficient drive to meet the challenging strategies in operation of the system. This paper provides a speed sensorless control of an Induction motor with a model based adaptive controller with stator current vectors. The purpose of the proposed control scheme is to create an algorithm that will make it possible to control induction motors without sensors. A closed loop estimation of the system with robustness against parameter variation is used for the control approach. A model reference adaptive System (MRAS) is one of the major approaches used for adaptive control. The MRAS provides relatively easy implementation with a higher speed adaptation algorithm. MRAS proposed in this paper owing to its low complexity and less computational diem proposes a feasible methodology to control the speed of an Induction Motor (IM) drive without using speed sensors. Simulations results validate the effectiveness of this technique.

关键词： Indirect Field oriented control induction motor drive sensorless speed estimation model reference adaptive control

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Tracking Error Convergence for Multi-Input Multi-Output model reference adaptive control with Known Nonminimum Phase Zeros 54

Tracking Error Convergence for Multi-Input Multi-Output Mode...

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54th IEEE Conference on Decision and control (CDC)

作者： Hashemi, Kelley E. Akella, Maruthi R. Pak, Chan-gi Univ Texas Austin Dept Aerosp Engn Austin TX 78712 USA NASA Armstrong Flight Res Ctr Edwards AFB CA 93523 USA

ISBN: (纸本)9781479978861

This paper presents a tracking error convergence proof for the multi-input multi-output direct model reference adaptive control problem. The proof is valid for square plants that are potentially nonminimum phase. This work is an extension of the surrogate tracking error adaptive control techniques previously developed, though the assumed plant structure is altered to accommodate a wider range of dynamics. Error convergence is demonstrated using a composite system construction with Lyapunov stability techniques. The performance of the proposed control design is demonstrated through simulation of a linear version of an aircraft wing's aeroelasitc pitch and plunge dynamics.

关键词： model reference adaptive control

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model reference adaptive control for twin rotor multiple-input and multiple-output system via minimal controller synthesis

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND control ENGINEERING 2014年第6期228卷 406-418页

作者： Chelihi, Abdelghani Chemachema, Mohamed Univ Biskra Fac Sci & Engn Dept Elect Engn Biskra Algeria Constantine 1 Univ Dept Elect Fac Technol Constantine 25017 Algeria

A model reference adaptive controller for a twin rotor multiple-input multiple-output system is considered in this article. The objective is to make the twin rotor multiple-input multiple-output system move quickly and accurately to the desired attitudes specified by a reference model. Because of the coupling influence between the two axes of the twin rotor multiple-input multiple-output system and its nonlinear complexity, the controller design is performed on the vertical plane and horizontal plane separately. Thus, the nonlinear multiple-input and multiple-output model of the twin rotor multiple-input multiple-output system is decoupled into two subsystems, and the cross-couplings are considered as disturbances to each other. The obtained two models are transformed via Lie derivatives to a canonical form required for adaptive controller design. Then, a hyperstability-based adaptive control technique is applied for each subsystem. The proposed controller design is evaluated in simulations of cross-coupled condition. The obtained results show that the controlled system is robust against disturbances with high tracking performance.

关键词： model reference adaptive control minimum controller synthesis hyperstability Popov twin rotor multiple-input multiple-output system

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EMS maglev vehicles model reference adaptive control 34

EMS maglev vehicles model reference adaptive control

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34th Chinese control Conference, CCC 2015

作者： Songqi, Li Kunlun, Zhang Guoqing, Liu Wei, Guo Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle Ministry of Education Southwest Jiaotong University Chengdu China School of Information Science and Technology Southwest Jiaotong University Chengdu China

ISBN: (纸本)9789881563897

Elastic deformation of the track effects on EMS maglev vehicles safety and comfort, brought challenges to the design of the suspension control system. In order to solve this problem, a nonlinear dynamic model of single magnet EMS maglev vehicles is built, discussed the model reference adaptive control method in the application of maglev vehicles suspension control;designed the controller based on Lyapunov stability theory. A numerical simulation is performed with MATLAB, and the effectiveness of the control method was verified. © 2015 Technical Committee on control Theory, Chinese Association of Automation.

关键词： maglev vehicles model reference adaptive control nonlinear control system dynamics

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model reference adaptive control-Based Speed control of Brushless DC Motors With Low-Resolution Hall-Effect Sensors

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IEEE TRANSACTIONS ON POWER ELECTRONICS 2014年第3期29卷 1514-1522页

作者： Liu, Yang Zhao, Jin Xia, Mingzi Luo, Hui Huazhong Univ Sci & Technol Coll Automat Wuhan 430074 Hubei Peoples R China

A control system with a novel speed estimation approach based on model reference adaptive control (MRAC) is presented for low cost brushless dc motor drives with low-resolution hall sensors. The back EMF is usually used to estimate speed. But the estimation result is not accurate enough at low speeds because of the divided voltage of stator resistors and too small back EMF. Moreover, the stator resistor is always varying with the motor's temperature. A speed estimation algorithm based on MRAC was proposed to correct the speed error estimated by using back EMF. The proposed algorithm's most innovative feature is its adaptability to the entire speed range including low speeds and high speeds and temperature and different motors do not affect the accuracy of the estimation result. The effectiveness of the algorithm was verified through simulations and experiments.

关键词： Brushless dc motor low-resolution hall sensor model reference adaptive control speed estimation

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Double closed-loop control of PMSM based on improved model reference adaptive strategy and sine-cosine algorithm

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ELECTRICAL ENGINEERING 2025年 1-17页

作者： Feng, Chengyang Yang, Hengzhan Tan, Bo Qian, Fucai Xian Technol Univ Dept Elect Informat Engn Xian Peoples R China Xian Univ Technol Dept Automat & Informat Engn Xian Peoples R China

Permanent magnet synchronous motor is a high-order nonlinear and uncertain system. Aiming at the problem that its conventional feedback control is vulnerable to various disturbance factors of the system, resulting in insufficient anti-disturbance performance, based on the mathematical model of the permanent magnet synchronous motor and the basic principle of the model reference adaptive algorithm, this paper designs a double closed-loop adaptive controller by using the generalized output error signal of the system combined with the input quantity of the forward path and the output feedback quantity of the controlled object, and utilizes the improved sine-cosine optimization algorithm to optimize the variable parameters in the controller. Finally, an experimental platform is built, and the classic PI control and the traditional model reference adaptive control are selected as the comparison groups. The experimental results verify that the fluctuation generated by the control system when disturbed is smaller, the speed of restoring stability is faster, and the anti-disturbance ability is stronger.

关键词： Permanent magnet synchronous motor Double closed-loop system model reference adaptive control Sine-cosine algorithm

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model reference adaptive Predictive Current control of Six-Phase Induction Machine

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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2025年

作者： Arahal, Manuel R. Satue, Manuel G. Barrero, Federico Martinez-Heredia, Juana Univ Seville Syst Engn & Automat Dept Seville 41092 Spain Univ Seville Elect Dept Seville 41092 Spain

Predictive stator current control (PSCC) is a flexible technique that has been the subject of research in connection with multiphase drives. The flexibility that the cost function (CF) brings finds an obstacle in CF tuning. Intensive trial and error tests are usual in this context. In this article, an adaptive procedure is proposed based on the concept of model reference adaptive control. Unlike previous methods, the proposal provides on-line tuning of PSCC with very little burden. The proposal is motivated by the idea of using optimal weighting factors (WFs) for each operating point. A case study is developed for a six-phase induction machine. The adaptive method includes cross terms and momentum to cope with irregularities in the derivatives with respect to the WF. It is shown that adaptiveness allows crossing the Pareto front of performance indicators. This provides flexibility without optimality loss. The proposal is assessed with real experimentation on a laboratory set-up.

关键词： Tuning Stators Current control Proposals Switching frequency Switches Predictive models Adaptation models Systematics Induction machines model reference adaptive control multiphase drives predictive control

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